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  2. Portland State Systems Science Program | Courses: SYSC / Artificial Life: Spring
  3. Kundrecensioner
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  5. Artificial Life

Langton and Katsunori Shimohara. Luis M. Jordan Pollack , Mark A.

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Bedau , Phil Husbands , Richard A. Watson , and Takashi Ikegami. Search Search. This course has been re-designed as a new course now offered at Indiana University: biologically-inspired computing.


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The lecture notes of the new course have updated substantially the notes from the old course below; therefore, I encourage readers to looks at the new lecture notes. The old course presented an overview of the field of Evolutionary Systems and its applied branch of Artificial Life. The historical and philosophical foundations of evolutionary thought are explored with particular emphasis on computational simulations of its models.

Portland State Systems Science Program | Courses: SYSC / Artificial Life: Spring

Students were expected to develop artificial life models, or, if requested, write a specific topic paper. You can check out the lecture notes below. Evolutionary Systems and Artificial Life by Luis Rocha This course has been re-designed as a new course now offered at Indiana University: biologically-inspired computing. Principia Cybernetica Web The Project's aim is the computer-supported collaborative development of an evolutionary-systemic philosophy. Put more simply, PCP tries to tackle age-old philosophical questions with the help of the most recent cybernetic theories and technologies.

Check out its collection of links on related issues.

Kundrecensioner

An interview with one of the founding fathers of cybernetics and such topics as self-organization. Gordon Pask.

List or resources and tributes to one the founding fathers of cybernetics. Check out also Paul Pangaro 's Pask Archive.

Andy Wuensche 's Discrete Dynamics Lab : an interactive graphics program for research into the dynamics of finite discrete variable networks such as Cellular Automata and Random Boolean Networks , relevant to the study of complexity, emergent phenomena, neural networks, and aspects of theoretical biology such as gene regulatory networks. How does evolution produce sophisticated emergent computation in systems composed of simple components limited to local interactions?

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This SFI Project aims at the construction of models of such processes, using genetic algorithms to evolve cellular automata to perform computational tasks requiring globally-coordinated information processing. COGS Evolutionary and Adaptive Systems research Papers : Working Papers in evolutionary and adaptive systems produced by students and staff at the School of Cognitive and Computing Sciences at the University of Sussex At Brighton , a reputed centre for multi-disciplinary research and teaching in artificial intelligence, computer science, linguistics, philosophy and psychology.

Check out an overview of their research in this area. Complex Adaptive Systems and Artificial Life by Moshe Sipper Biosemiotics is an interdisciplinary science that studies communication and signification in living systems. Evolutionary Computation by Craig Reynolds.

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Artificial Life

In: J. Meyer and S. Wilson Eds.

Artificial Life, Open-Ended Evolution, and the Origins of Biological Complexity

Google Scholar. Springer, Berlin, — In: Insect Soc.